6.450 Principles of Digital Communications I, Fall 2006
Topics digital communication, data compression, Lempel-Ziv algorithm, scalar quantization, vector quantization, sampling, aliasing, Nyquist criterion, PAM modulation, QAM modulation, signal constellations, finite-energy waveform spaces, detection, communication system design
The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring.
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Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.